Tag: domain generalization

A focused review of 27 studies highlights the shift from traditional image processing to deep learning architectures for automated concrete ...

Researchers developed SegAnyNeuron, a feature modeling framework that improves three-dimensional neuronal image segmentation across diverse microscopy modalities by encoding local ...

Engineers have developed a multi-source domain generalization framework that uses vibration data from a single tower sensor to detect seabed ...

Researchers used diffusion models to generate weather- and lighting-altered training videos with intact annotations, improving cross-dataset foreground segmentation from 0.76 ...

A causal and invariant-learning system reduced cross-domain dance quality-scoring error by 38.7% in a machine-learning study involving 125 dancers and ...

A retrospective study of 15,000 companies found that the MFGCN machine-learning framework outperformed tested baselines in two-quarter financial-crisis warning while ...

A context-aware deep-learning model classified rodent sleep stages across unseen animals and retained near-baseline performance after training only on vehicle-control ...

A transformer-based deep-learning pipeline called ProFormer classifies single-cell and plasma proteomes directly from raw mass-spectrometry fingerprints, outperforming CNNs and enabling ...

Deep learning models that promise to weigh pastures from photographs may be far less trustworthy than their published accuracy figures ...

A Transformer-based network that treats each ultrasound sensor's time series as a token reconstructs photoacoustic images in a single forward ...